Estimates Of Phenotypic Parameters Research Articles

Preliminary outcomes on phenotypic and genetic parameter estimates for body weight of indigenous Tswana goats in Botswana

The aims of this study were to estimate the genetic and phenotypic parameters for growth traits and evaluate genetic trends on 585 indigenous Tswana goats. The population was maintained under low input production system at the Department of Agricultural Research in Lesego ranch, Botswana, from 2005 to 2008. Data included birth weight (BW), weaning weight (WW), weight at 8 months (PW), yearling weight (YW), pre-weaning average daily gain (ADG) and two post weaning average daily gains (ADG2 and ADGYW). Data was analysed using general linear model of SAS to determine non-genetic effects. Estimation of genetic and phenotypic parameters were estimated using ASREML fitting an animal model that accounted for fixed effect of parity, sex, type of birth and year of birth. Least squares means for BW, WW, PW and YW were 2.88 ± 0.03, 12.15 ± 0.17, 16.52 ± 0.28 and 21.04 ± 0.32Kg, respectively, while those for ADG, ADG2 and ADGYW were 74.52 ± 1.41, 28.78 ± 1.55 and 33.66 ± 2.28 g/day, respectively. Estimates of heritability for BW, WW, PW and YW were 0.79 ± 0.11, 0.63 ± 0.14, 0.32 ± 0.13 and 0.48 ± 0.16, respectively. The genetic correlations for all the traits studied were positive and moderate to high (0.48 to 0.82) whilst phenotypic correlations ranged from 0.21 to 0.72. Positive average genetic trends of 12.32% (WW), 13.39% (PW) and 7.38% (YW) were attained. The results have demonstrated the potential of this breed to be improved through selection.

Estimates of Genetic and Phenotypic Parameters of Milkability Traits in Holstein Friesian and Simmental Cows

Bu çalışma da Kahramanmaraş ilinde yetiştirilen Siyah Alaca ve Simental sığırların süt akış hızı, sağım süresi ve süt verimine ilişkin fenotipik ve genetik parametre tahminleri elde edilmiştir. Araştırmada 150 baş Siyah Alaca ve 40 baş Simental ineğin süt verim kayıtları kullanılmıştır. Süt akış hızı, sağım süresi ve süt verimine ilişkin genel ortalamalar Siyah Alaca ırkında; 1.370.004 kg dak-1, 16.700.017 dak ve 21.320.026 kg, Simental ırkında ise 1.0470.007 kg dak-1, 17.740.034 dak ve 16.820.049 kg olarak hesaplanmıştır. Mevsim etkisi her iki ırkta da tüm özellikler için önemli (P0.0001) bulunmuştur. Sağım zamanı etkisi ise Siyah Alaca ırkında günlük süt verimi ve süt akış hızı, Simental ırkında ise günlük süt verimi ve sağım süresi için önemli (P0.0001) bulunmuştur. Süt akış hızı, sağım süresi ve süt verimine ilişkin kalıtım dereceleri Siyah Alaca ırkında; 0.110.015, 0.320.03 ve 0.130.02, Simental ırkında ise 1.0470.007 kg dak-1, 17.740.034 dak ve 16.820.049 kg olarak hesaplanmıştır. Her iki ırkta da sağım özellikleri arasındaki genetik korelasyonlar orta-yüksek bulunmuştur. Bu çalışmada ele alınan özelliklerin kalıtsal olduğu ve seleksiyonla geliştirilebileceği sonucuna varılmıştır.

Quantitative estimation of organ-scale phenotypic parameters of field crops through 3D modeling using extremely low altitude UAV images

Plant phenotypic parameters provide key information in modern crop breeding. However, the rapid and accurate estimation of organ-scale phenotypic parameters remains a challenge. In this context, the present study proposed a novel methodology for the automatic quantification of the organ-scale parameters of field crops using the unmanned aerial vehicle (UAV) platform. First, a lightweight UAV was employed to capture the multi-view and high-resolution image sequences of field crops at an extremely-low flight altitude. Subsequently, based on these image sequences, point cloud reconstruction of the canopy was conducted. Next, the geometrical model of individual leaves was reconstructed using the modified Crust algorithm and optimized by abnormal facet elimination and leaf surface repair. Finally, individual leaf phenotypic parameters were calculated based on the reconstructed geometrical models. The method was evaluated by comparing the calculated parameters with actual measurements. The calculated values for leaf length, maximum leaf width, and leaf area were in good agreements with the measured values (maize: R2 > 0.97 for all parameters, RMSE for length, width, and leaf area was 2.6 cm, 0.4 cm, and 33.2 cm2, respectively; soybean: R2 > 0.85 for all parameters, RMSE for the counterparts was 0.3 cm, 0.5 cm, and 2.3 cm2, respectively; tobacco: R2 > 0.89 for all parameters, RMSE for the counterparts was 4.1 cm, 1.4 cm, and 42.6 cm2, respectively). The methodology based on extremely-low altitude UAV images has promising prospects in the crop breeding program for the automatic acquisition of fine organ-scale parameters with high efficiency.

Genetic and phenotypic parameter estimates for selection within Ugandan indigenous chickens

The high genetic variation within indigenous chickens (IC) which provides an opportunity to select superior stock for sustainable production and conservation is under-exploited. This study is aimed at estimating heritability and genetic and phenotypic correlation coefficients of productive and reproductive traits of Ugandan IC as a basis for selection. Data on traits were collected across two consecutive generations, weight (W) and shank length (SL) of chicks at hatching (HW) as well as at 2 (W2; SL2), 4 (W4; SL4), 6 (W6; SL6), 8 (W8; SL8), and 12 (W12; SL12) weeks of growth. Body weights at onset of lay (WFE) were also measured. In addition, egg number (EN-60), egg weight (EW), clutch number (CLN-60), and clutch size (CLS-60) over a period of 60 days were recorded. Genetic parameters were estimated using the univariate animal model analysis with restricted maximum likelihood procedure using the variability package of R, version 4.1.1. Heritability of traits ranged from 0.30 and 0.72 except SL4 (0.02), SL12 (0.14), and EN-60 (0.17). The traits EN-60 and W4 were negatively phenotypically correlated (- 0.49). Body weight at first egg was highly genetically correlated (0.99) with SL8. Egg number was significantly, negatively, and genetically correlated (- 0.96) with SL12. In conclusion, shank length is a potential phenotypic marker when selecting for live weight at onset of lay and egg yield. The shank length could, therefore, permit selection of superior chickens at an early age.

Estimates of genetic and phenotypic parameters for feeding behaviour and feed efficiency-related traits in Nelore cattle.

The objective of this study was to obtain (co)variance components, heritability, and genetic and phenotypic correlation estimates for feed efficiency and feed behaviour-related indicator traits. Further, it aimed to predict the direct and correlated responses for feed efficiency traits when selection was applied for feeding behaviour-related traits in Nelore cattle. Phenotypic records (n=4840) from 125 feed efficiency tests (RFI: Residual feed intake and DMI: Dry matter intake) carried out between 2011 and 2018 were considered in this study. Animals belonged to five farms located in two Brazilian geographical regions (Midwest and Southeast). Animals under similar management and environmental conditions in the feedlot were evaluated when they attained an average of 13.5± 4.15 months of age. Feed behaviour-related traits were also obtained, including meal criteria (MC), meal frequency (MF), average meal duration (AMD), meal duration (MD), average consumption per meal (ACM), and consumption rate (CR) through the GrowSafe System® electronic bunk system. The contemporary groups for all traits were composed of farm, management group, feed efficiency test, sex, and birth year. The (co)variance components were estimated using the restricted maximum likelihood method considering a multi-trait (n=8) animal model. The heritability estimates for RFI (0.23± 0.02), DMI (0.31± 0.02), MF (0.65± 0.02), AMD (0.29± 0.02), ACM (0.24± 0.02), MD (0.41± 0.02), MC (0.48± 0.02), and CR (0.42± 0.02) were moderate to high. The highest genetic correlation was obtained between CR and MD (-0.91 ± 0.04), MD and AMD (0.73± 0.03), CR and AMD (-0.68± 0.04), and RFI and DMI (0.81± 0.02). The highest phenotypic correlation was between ACM and AMD (0.76 ± 0.02), DMI and MD (0.77± 0.02), and DMI and RFI (0.77± 0.02). Genetic improvement for feed efficiency and feeding behaviour-related traits is feasible and the results obtained herein provided valuable information regarding the genetic background of Nelore feeding behaviour-related traits. The genetic association between feeding behaviour and feed efficiency-related traits suggested that animals spending less time feeding at a low feeding rate also had lower DMI and higher feed efficiency (RFI), and likely had lower energy maintenance requirements. The relative efficiency of selection showed that feeding behaviour-related traits were not adequate indicator traits to improve RFI and DMI. The DMI might be an effective selection criterion to improve RFI and reduce the herd's maintenance requirements.

Estimates of Phenotypic and Genetic Parameters for Traits of Reproductive Efficiency in Kajli Sheep in Punjab, Pakistan

Estimates of Phenotypic and Genetic Parameters for Traits of Reproductive Efficiency in Kajli Sheep in Punjab, Pakistan

Rapid estimation of apple phenotypic parameters based on 3D reconstruction

In order to obtain the phenotypic parameters of apple quickly and accurately, which were commonly used as the basis of fruit sorting, a fast estimation method of apple phenotypic parameters based on three-dimensional (3D) reconstruction was proposed in this study. In this study, a three-dimensional model was constructed to estimate the phenotypic parameters of apple, such as volume, height, diameter, and fruit shape index. Firstly, an image acquisition system was built to capture sequence images of fruit with a binocular stereo vision system, and the images were extracted and matched using the Accelerated-KAZE algorithm to create the point cloud data. Secondly, the point cloud data were matched with the algorithm of Iterative Closest Point to establish a whole model of apple, and the surface reconstruction model of fruit was obtained by constructing irregular triangulation network. Finally, the apple phenotypic parameters were calculated by means of segmentation, surface complement and integral of the fruit model. Total of 200 apples were used as samples in the experiment. By this method, the phenotypic parameters of the apples were estimated based on their 3D reconstruction model, and the linear regression analysis was carried out between the estimated values and the real values. The results showed that R2 of the linear regression fitting of each parameter was higher than 0.90. Among them, the fitting of volume was the best with R2 of 0.97. In addition, the average errors of apple volume, height, fruit shape index, maximum diameter D and minimum diameter d were 8.73 cm3, 1.43 mm, 1.28%, 0.90 mm, and 1.23 mm, respectively. According to the Chinese national standard of “fresh Apple”, the average error of the estimated result is within the range of allowable error. It indicates that the method of apple phenotypic parameter estimation based on 3D reconstruction has a high accuracy and practicability, and it can be used as the support for fruit sorting. Keywords: apple, 3D reconstruction, phenotypic parameter, stereo vision system, sequence image, sorting DOI: 10.25165/j.ijabe.20211405.6258 Citation: Ma H, Zhu X, Ji J T, Wang H, Jin X, Zhao K X. Rapid estimation of apple phenotypic parameters based on 3D reconstruction. Int J Agric & Biol Eng, 2021; 14(5): 180–188.

Estimation of genetic and phenotypic parameters of logistic growth curve and their inter-relationship in Zandi Sheep

Estimation of genetic and phenotypic parameters of logistic growth curve and their inter-relationship in Zandi Sheep

Phenotypic and genetic parameter estimates for early growth, growth rate and growth efficiency-related traits of Fogera cattle in Ethiopia.

BackgroundUnderstanding the phenotypic and genetic parameter estimates of growth traits is important for an effective livestock genetic improvement programme.ObjectivesIn this study, we evaluated the phenotypic performances and estimated genetic parameters for birthweight (BWT), weaning weight (WWT), pre‐weaning average daily gain (PADG), pre‐weaning Kleiber ratio (PKR), pre‐weaning growth efficiency (PGE) and pre‐weaning relative growth rate (PRGR) of Fogera cattle in Ethiopia.MethodsGrowth data collected from 2000 to 2018 in Andassa Livestock Research Center were used for the study. General linear model of SAS 9.1 was used to estimate the least squares mean (LSM) ± standard error (SE) for phenotypic performances, and AI‐REML of Wombat software combined with a series of five single‐trait animal models to estimate phenotypic variance and its direct, maternal and residual components. Calf sex, calf birth season and calf birth year were the fixed effects considered.ResultsThe overall LSM ± SE BWT, WWT, PADG, PKR, PGE and PRGR were 21.28 ± 0.05 kg, 97.99 ± 0.67 kg, 320.29 ± 2.79 g, 10.10 ± 0.04, 3.51 ± 0.35 and 1.95 ± 0.00, respectively. All the fixed effects considered significantly (p < 0.001) affected all the traits. The direct heritability estimates for BWT, WWT, PADG, PKR, PGE and PRGR were 0.21 ± 0.07, 0.26 ± 0.01, 0.55 ± 0.19, 0.53 ± 0.18, 0.33 ± 0.00 and 0.50 ± 0.00, respectively. The genetic correlations among the traits ranged from negative (−0.20 ± 0.04; BWT‐PKR) to positive (0.99 ± 0.00; BW‐PGE, BW‐GR, WWT‐PGE, WWT‐PGR, ADG‐PGR, PKR‐PGR, PKR‐PGE and PGE‐PGR). Similarly, the phenotypic correlations ranged from −0.03 ± 0.20 to 0.99 ± 0.01; BWT‐PGE, BWT‐PRGR, WWT‐PGE, WWT‐PRGR, PKR‐PGE, PKR‐PRGR and PGE‐PRGR).ConclusionThe positive and larger phenotypic and genetic correlations between most of the traits implied that selection based on one trait could improve the other traits. However, the negative phenotypic and genetic correlation between BWT‐PKRA implies that selection of Fogera calves based on either of the traits has an adverse effect on the other. Therefore, caution should be taken when designing the selection criteria for growth improvement.

ESTIMATE OF GENETIC AND PHENOTYPIC PARAMETERS FOR LITTER SIZE AND WEANING WEIGHT IN YANKASA SHEEP

Data on 964 and 1150 weaning weight and litter size records respectively, collected over a 10years period on Yankasa Sheep breeding project at the National Animal Production Research Institute (N.A.P.R.I), Zaria, were used in the study. The analysis was for estimation of genetic and phenotypic parameters for litter size and weaning weight in Yankasa sheep. Estimates of heritability for litter size and weaning weight were obtained from paternal half sib intraclass correlation. The genetic and phenotypic relationship between the litter size and weaning weight were estimated from the covariance and variance components of the two traits. Least squares means of 1.18±0.02 and 10.67±0.11 were obtained for litter size and weaning weight, respectively. Heritability (h2) estimates of 0.18±0.07 and 0.63±0.01 were obtained, respectively, for litter size and weaning weight. Genetic and phenotypic correlations of 0.83±0.052 and 0.23±0.094 respectively, were obtained, between weaning weight and litter size

INHERITANCE OF GROWTH AND LACTATION PARAMETERS IN YANKASA SHEEP

Estimates of genetic and phenotypic parameters for lactation records of 143 ewes and growth performance of 134 lambs were examined using the paternal half-sib mixed model analysis. Heritability (h2) estimates for the curve parameters were 1.4, 0.3, 0.2 and 0.5 for a (level of general production), b (pre-peak curvature), c (post-peak curva-ture) and total lactation (T). The estimates of phenotypic and genetic correlations between the various curve parameters were mostly positive and moderate in magnitude. For the growth parameters, h2 estimates of 0.3 and 0.7 were obtained for birth weight (BWT) and 90- day weaning weight (WWT) respectively. The genetic and phenotypic correlations between these traits were 0.7 and 0.3 respectively. In conclusion the moderate estimates of h2 obtained for curve parameters in this study indicate that improvement of milk production performance of the Yankasa sheep through selection is possible. Similarly, the magnitude of the estimate of correlations between BWT and WWT probably indicates that selection based on BWT will improve WWT. Furthermore, preliminary, culling based on BWT is also possible.

Rapid estimation of apple phenotypic parameters based on 3D reconstruction

Rapid estimation of apple phenotypic parameters based on 3D reconstruction

Estimation of Phenotypic and Genetic Parameters of Egg Quality Traits of Azerbaijan Native Hens

Estimation of Phenotypic and Genetic Parameters of Egg Quality Traits of Azerbaijan Native Hens

Genotype by Environment interactions for egg number and egg weight of five dual-purpose chicken breeds in different zones of Oromia region in Ethiopia

The African Chicken Genetic Gain (ACGG) project (https://africacgg.net/) aims at backyard poultry optimization by commercial dual-purpose breeds introduction into Africa. To measure benefits, genotype by environment interaction (GxE) analysis provides guidance while predicting environmental effects on production traits of breeds. A survey among Ethiopian poultry smallholders showed egg sale being the most important purpose of keeping village chickens in Oromia. Data was available about laying of 894 ACGG chickens in Oromia. Hence current research questions were: 1) Does GxE take place? 2) Which breed performs best regarding laying and in which environment within Oromia? Traits investigated were egg number and egg weight of five breeds (S-RIR, Sasso, Horro, Kuroiler and Koekoek) located in three zones (East Hararge, East and West Shoa) and 5 districts (Adami Tulu, Bako Tibe, Dano, Dugda and Haromaya) in Oromia. Observations were taken as group measure performing weighted analyses. GxE was only present for egg number with magnitude strongest for zone. S-RIR performed best for both traits in both environments, except Kuroiler performing better in East Shoa for egg number and Koekoek for egg weight. This indicates success of crossbreed S-RIR. Sasso and Horro performed worst supported by previous research for Horro but not Sasso. Low precipitation in East Shoa caused bigger distance in egg number predictions, being higher for S-RIR and lower for Horro and Sasso compared to West Shoa. Apart from these final conclusions, social context of breeding and data collection difficulties should not be forgotten. Just like relevance of other performance trait analyses.

Meta-analysis of genetic parameters for traits of economic importance for beef cattle in the tropics

Previous genetic and economic evaluation of beef cattle breeding programmes have used genetic and phenotypic parameter estimates obtained in different studies. Such parameters are heterogeneous because they are obtained from different locations, using different sample sizes and estimation methods. The consequence of using such parameters is underestimation or overestimation of potential genetic gains, leading to wrong investment decisions. The objective of the current study was to estimate consensus genetic and phenotypic parameter estimates for beef cattle in the tropics. Meta-analysis of productive, reproductive, adaptation and disease resistance traits was done to obtain weighted traits means, heritabilities, and genetic and phenotypic correlations. Estimates from 208 means, 119 direct and 50 maternal heritability, 42 direct genetic and maternal genetic correlations, 136 genetic and 93 genetic and phenotypic correlations, respectively, were used. A random effect model was used to include the variances within and between studies. Unweighted average direct heritability estimates ranged from 0.26 to 0.32, 0.08 to 0.40, 0.14 to 0.34, 0.18 to 0.67 and 0.30 to 0.35 for growth, reproduction, disease resistance, adaptation and carcass traits, respectively. Weighted heritability estimates for birth weight, weaning weight and yearling weight ranged from 0.18 to 0.26, while those for reproduction traits ranged from 0.02 to 0.09. Weighted maternal heritability estimates for growth traits ranged from 0.07 to 0.11. Carcass, disease resistance and adaptation traits were the least studied despite their great economic importance to beef production in the tropics. Direct maternal heritability estimates for birth, weaning and yearling weights were 0.26, 0.24 and 0.18, while the corresponding maternal heritability estimates were 0.07, 0.11 and 0.08, respectively. Genetic and phenotypic correlations for body weights ranged from 0.43 to 0.88 and 0.32 to 0.80, respectively. Yearling weight and final weight had the highest genetic correlation (0.88). The genetic correlations between body weights and growth rates were moderate to high (0.37 to 0.79). Weaning weight was negatively correlated with post-weaning daily gain (-0.12). Disease resistance traits had low to negative genetic correlations with body weight and growth rate traits (-0.06 to 0.01). Some traits reviewed in the current study were not given a lot of attention, and therefore more focus is required on disease resistance, adaptation and carcass traits. In spite of these limitations, the weighted parameter estimates reported here can be used to add value to beef cattle improvement programmes in the tropics.

Genotypic Selection for Soybean Earliness

Obtaining early-maturing soybean cultivars with high yield performance has long been the focus of breeding programs. Obtaining the estimates of genetic and phenotypic parameters can assist breeders at selecting the superior genotypes. Therefore, the aim was to estimate the genetic and phenotypic parameters of progenies throughout the recurrent selection for early maturity in soybeans and to select progenies with superior agronomic traits. S0:1 progenies were evaluated in one site during the 2015/2016 harvest using a 12 &amp;times; 12 lattice design, with one 2-meter row plot with two replicates. The S0:2 progenies were evaluated during the 2016/2017 harvest using an 8 &amp;times; 8 lattice design, with one 3-meter row plot with three replicates. The S0:3 progenies were evaluated during the 2017/2018 harvest using a 5 &amp;times; 5 lattice design, with two 3-meter rows plots with three replicates. Both S0:2 and S0:3 progenies were evaluated in three different sites. The days to flowering, full maturity, first pod insertion height, plant height, lodging index and grain yield traits was evaluated. The data were analyzed using a mixed model approach. The genetic and phenotypic parameters, expected gain with selection, realized heritability, correlated response and the frequency distributions of the adjusted means were estimated. The estimates of the variance components have evidenced variability among the progenies, enabling the selection of superior genotypes. All the evaluated progenies showed good agronomic performance, combining early maturity and productive performance. When early-maturing progenies were selected, there was a reduction in days to flowering, plant height, first pod insertion height, lodging and yield.

Phenotypic and Genetic Parameter Estimates for Local Guinea Fowl Production and Some Other Traits

This study on indigenous Guinea fowls in Ghana was undertaken to estimate genetic variation and heritability of traits in these birds. The study was conducted at the Poultry Section of the Animal farm of the Department of Animal Science Education, University of Education, Winneba, Mampong-Ashanti campus, Ghana, from 2015 to 2018. The data used in the present experiment were collected from six hundred keets (300 males and 300 females) produced from randomly selecting and mating 110 dams and 22 sires and consisted of 780 records collected over a period of 3 years. The genetic parameters were estimated using sire-son, sire-daughter and dam-daughter regression analysis. Body weight and 8-month weight gain showed the greatest additive genetic variation, with survival, docility, dressing percentage, age at first egg, egg weight, egg number, fertility, hatchability traits, feed intake and FCR showing relatively low additive genetic variation. Moderate to high heritability estimates were obtained for body weight, weight gain at ages 1day to 2 months, 2-4 months in females, 4-6 months in males, docility, feed intake in females and feed conversion ratio in both males and females. Similarly, moderate to high heritability estimates were also obtained for age at first egg, egg weight and egg numbers. However, all other parameters considered in this study had low heritability estimates. This study concludes that, the results could be used to initiate Guinea fowl selection breeding programmes.

Pooled parameter estimates for traits of economic importance in indigenous chicken in the tropics

Genetic and phenotypic parameter estimates obtained in different studies, may be heterogeneous. This is because they are obtained in different locations, using different sample sizes and estimation methods. The choice of which parameter estimates to use, is in most cases subjective and this may lead to underestimation or overestimation of potential genetic gain. The objective of the current study was to use meta-analysis to estimate genetic and phenotypic parameters of traits of economic importance in indigenous chicken (IC) breeding program. Estimates from literature were included where it was clearly indicated that the study was conducted on indigenous chicken and in the tropics. Information captured included country of study, method of evaluation, sample size, mean and standard deviation or standard error of the estimate, and for genetic correlations, number of sires. Seventy three (73) heritabilities and 38 genetic and phenotypic correlations traits were used. A random effect model was used so as to include the variances within and between studies. Weighted heritabilities for body weight at hatch (Bw0) and twelve weeks (Bw12), egg number at twelve weeks (EN12) and antibody response (Ab) were 0.46, 0.24, 0.12, and 0.27 respectively. Pooled and non-pooled heritability values were varied for body weight among other traits for instance the pooled genetic value for body weight at hatch was 0.46 as compared to 0.56 in one of the studies. The weighted genetic and phenotypic correlations were also varied from the ones from single studies. Heritability estimates differed due to method of estimation, location and time at which the data was collected.

Effect of Season, Parity and Stage of Lactation on Productive Performance of Sahiwal Cattle

The study was conducted to understand the effect of season, parity and stage of lactation on productive performance of Sahiwal cattle. The data of productive traits of 133 Sahiwal cattle from 2016 to 2018 maintained at the Livestock Research Center, Karnal, Haryana, were used for this study. The production data were analyzed using least-square procedures based on season, parity and stage of lactation. Results indicated that the parity had significant (p less than 0.05) influence on monthly milk yield (MMY) whereas, the stage of lactation had highly significant (P less than 0.01) influence on monthly milk yield (MMY) and test day milk yield (TDMY). However, there was no significant effect of season on different productive performance traits in Sahiwal cattle. The phenotypic parameter estimates indicated that the parity and stage of lactation of cattle can be used as a selection tool for improvement of productive traits considering its high positive phenotypic correlations with succeeding productive traits in Sahiwal cows.

Heritability and the genotype × environment interaction in soybean

AbstractThe objectives of this study were to examine the implication of the genotype × environment interaction (G × E) in the identification of genetically superior soybean [Glycine max (L.) Merr.] progenies; to obtain estimates of genetic and phenotypic parameters for agronomic traits in soybean progenies; and to select genetically superior progenies to obtain lineages. Progenies F3:4 were evaluated in the municipalities of Lavras‐MG and Itutinga‐MG, Brazil, in the agricultural year 2016–2017. Progenies F3:5 were evaluated in the summer of 2017–2018 in the municipalities of Lavras‐MG, Itutinga‐MG, and Ijaci‐MG. The traits of days to flowering, days to full maturity, plant height, bottom pod height, lodging, and grain yield were evaluated. The genetic and phenotypic parameters, expected gain from selection, genetic correlation, correlated response, achieved heritability, and frequency distribution of the adjusted means were estimated. The estimates of the components of variance showed the existence of variability among the progenies, enabling the selection of superior genotypes. There was an effect of the G × E interaction for all traits, and most of the interaction was due to complex interaction. From the analysis of genotypic correlation, significant estimates were observed between the traits. The G × E interaction affected the estimates of genetic and phenotypic parameters in the soybean, and the achieved heritability is a tool to study this interaction.